Pith Number
pith:6HGGTYXI
pith:2026:6HGGTYXIVRMVHOTNRCI3HG5JEG
not attested
not anchored
not stored
refs pending
Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems
arxiv:2608.10941 v1 · 2026-08-11 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6HGGTYXIVRMVHOTNRCI3HG5JEG}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-08-12T01:23:51.896785Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f1cc69e2e8ac5953ba6d8891b39ba921aff311e06fd968a9601519942f1b9931
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6HGGTYXIVRMVHOTNRCI3HG5JEG \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f1cc69e2e8ac5953ba6d8891b39ba921aff311e06fd968a9601519942f1b9931
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7bec6d3dfc462647a4db62af82fc49299967c3fda062bfe2b6e44d37e6b81fe6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-08-11T14:11:51Z",
"title_canon_sha256": "24a5b2c5508e38529a6016b23c132ebbd1aa0fb8f8d650600d1de8c1ca790375"
},
"schema_version": "1.0",
"source": {
"id": "2608.10941",
"kind": "arxiv",
"version": 1
}
}